Question: 1/50
A retail team wants to quickly categorize customer feedback emails into topics (e.g., shipping, returns, product quality) without building a complex model from scratch. Which approach is most appropriate?
Use supervised learning with a labeled dataset of emails and topic labels
Use reinforcement learning to optimize topic assignments based on rewards
Use anomaly detection to flag unusual emails as new topics
Use regression to predict a numeric topic score for each email